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Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging.
Pieszko, Konrad; Shanbhag, Aakash D; Singh, Ananya; Hauser, M Timothy; Miller, Robert J H; Liang, Joanna X; Motwani, Manish; Kwiecinski, Jacek; Sharir, Tali; Einstein, Andrew J; Fish, Mathews B; Ruddy, Terrence D; Kaufmann, Philipp A; Sinusas, Albert J; Miller, Edward J; Bateman, Timothy M; Dorbala, Sharmila; Di Carli, Marcelo; Berman, Daniel S; Dey, Damini; Slomka, Piotr J.
Affiliation
  • Pieszko K; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Shanbhag AD; Department of Interventional Cardiology and Cardiac Surgery, Collegium Medicum, University of Zielona Góra, Zielona Góra, Poland.
  • Singh A; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Hauser MT; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Miller RJH; Department of Nuclear Cardiology, Oklahoma Heart Hospital, Oklahoma City, OK, USA.
  • Liang JX; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Motwani M; Department of Cardiac Sciences, University of Calgary and Libin Cardiovascular Institute, Calgary, AB, Canada.
  • Kwiecinski J; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Sharir T; Institute of Cardiovascular Science, University of Manchester, Manchester, UK.
  • Einstein AJ; Department of Cardiology, Manchester Heart Institute, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester, UK.
  • Fish MB; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Ruddy TD; Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland.
  • Kaufmann PA; Department of Nuclear Cardiology, Assuta Medical Centers, Tel Aviv, Israel.
  • Sinusas AJ; Division of Cardiology, Department of Medicine and Department of Radiology, Columbia University Irving Medical Center and NewYork-Presbyterian Hospital, New York, NY, USA.
  • Miller EJ; Oregon Heart and Vascular Institute, Sacred Heart Medical Center, Springfield, OR, USA.
  • Bateman TM; Division of Cardiology, University of Ottawa Heart Institute, Ottawa, ON, Canada.
  • Dorbala S; Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland.
  • Di Carli M; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
  • Berman DS; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
  • Dey D; Cardiovascular Imaging Technologies LLC, Kansas City, MO, USA.
  • Slomka PJ; Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Brigham and Women's Hospital, Boston, MA, USA.
NPJ Digit Med ; 6(1): 78, 2023 May 01.
Article de En | MEDLINE | ID: mdl-37127660

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Etiology_studies / Prognostic_studies / Risk_factors_studies Langue: En Journal: NPJ Digit Med Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Etiology_studies / Prognostic_studies / Risk_factors_studies Langue: En Journal: NPJ Digit Med Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: Royaume-Uni